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adain-style

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

bdcn

The code for the CVPR2019 paper Bi-Directional Cascade Network for Perceptual Edge Detection

centernet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

cnn-visualization

CNN可视化、理解CNN

codes-for-lane-detection

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

deep-image-matting-v2

Deep Image Matting implementation in PyTorch

deepgaze

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

egnet

EGNet:Edge Guidance Network for Salient Object Detection (ICCV 2019)

emanet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

fastai

The fastai deep learning library, plus lessons and tutorials

funit

Translate images to unseen domains in the test time with few example images.

funit-tensorflow

Simple Tensorflow implementation of "Few-Shot Unsupervised Image-to-Image Translation" (ICCV 2019)

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

imgaug

Image augmentation for machine learning experiments.

instaboost

Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"

instaboost-pypi

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

matting_human_datasets

人像matting数据集，包含34427张图像和对应的matting结果图。

mc-cnn

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

mmdetection

Open MMLab Detection Toolbox and Benchmark

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms.

ohem

OHEM support for Fast R-CNN

pixelobjectness-bilinear

Pixel Objectness with Bilinear Filtering

production-level-deep-learning

This repo attempts to serve as a guideline for building practical production-level deep learning systems to be deployed in real world applications.